19 Feb
Georgia,
Dunwoody
, 30338
Dunwoody
USA
Vacancy expired!
OverviewWe are not just offering a job but a meaningful career! Come join our passionate team!As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunitySFARM#LI-AP1ResponsibilitiesState Farm's Property & Casualty (P&C) Actuarial & Underwriting Modeling Department is seeking Data Scientists with experience in utilizing predictive modeling techniques to produce advanced analytic solutions and work in a dynamic and growing unit with emerging technologies.We have a growing and evolving infrastructure of predictive models that support State Farm's insurance pricing and underwriting decisions. We are looking for innovative individuals who are self-starters and like being part of a team that develops and implement creative solutions. Working within the P&C Actuarial & Underwriting Modeling Department, agile product teams have autonomy to drive outcomes that provide meaningful business value directly to our customers. As a data scientist, you will provide analytic solutions to support decision making across the company by:- Building statistical Models
- Consulting with other data experts on best ways to use the data for various analytic solutions
- Presenting results to stakeholders and leadership
- Sharing best practices with other Data Scientists
- Communicating with business partners that require articulation of the work in non-technical terms
QualificationsWe are looking for candidates with:- Advanced (MS) degree in statistics, economics, data science, mathematics, quantitative marketing, operations research, management science, industrial engineering, etc.
- Experience with data cleansing, feature creation, feature selection and value imputation.
- Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree based algorithms, generalized linear models, or neural networks.
- Experience with SQL and with Python, R, or SAS
- Microsoft Excel, Access, and Word skills
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